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Analysis of speech properties of neurotypicals and individuals diagnosed with autism and down

Published: 13 October 2008 Publication History

Abstract

Many individuals diagnosed with autism and Down syndrome have difficulties producing intelligible speech. Systematic analysis of their voice parameters could lead to better understanding of the specific challenges they face in achieving proper speech production. In this study, 100 minutes of speech data from natural conversations between neurotypicals and individuals diagnosed with autism/Down-syndrome was used. Analyzing their voice parameters indicated new findings across a variety of speech parameters. An immediate extension of this work would be to customize this technology allowing participants to visualize and control their speech parameters in real time and get live feedback.

References

[1]
J. Hailpern, Encouraging Speech and Vocalization in Children with Autistic Spectrum Disorder, ACM SIG ACCESS's Doctoral Consotrium/Winter Newsletter.
[2]
J. Santen, A. Kain, et al., Synthesis of prosody using multi-level sequence units, Speech Communication 46(3-4): 365--375, 2005.
[3]
T. Bergstrom and K. Karahalios, Seeing More: Visualizing Audio Cues. Proceedings of INTERACT 2007.
[4]
A. Teeters, Use of a Wearable Camera System in Conversation: Toward a Companion Tool for Social-Emotional Learning in Autism, MIT MS Thesis, September 2007.
[5]
P. Boersma and D. Weenink, Praat: doing phonetics by computer (Version 4.6.01) {Computer program}. Retrieved May 16, 2008, from http://www.praat.org/
[6]
I. H. Witten and E. Frank, "Data Mining: Practical Machine Learning Tools and Techniques," 2 ed., San Francisco: Morgan Kaufmann, 2005.

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  • (2022)Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph1903119219:3(1192)Online publication date: 21-Jan-2022
  • (2022)Technology-enhanced support for children with Down SyndromeInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2021.10034031:COnline publication date: 1-Mar-2022
  • (2019)Assessing Animal Emotion and Behavior Using Mobile Sensors and Affective ComputingEmerging Trends and Applications in Cognitive Computing10.4018/978-1-5225-5793-7.ch003(49-77)Online publication date: 2019
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  1. Analysis of speech properties of neurotypicals and individuals diagnosed with autism and down

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    cover image ACM Conferences
    Assets '08: Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
    October 2008
    332 pages
    ISBN:9781595939760
    DOI:10.1145/1414471
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 13 October 2008

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    Author Tags

    1. accessibility
    2. autism
    3. down syndrome
    4. speech processing
    5. speech production

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    Cited By

    View all
    • (2022)Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph1903119219:3(1192)Online publication date: 21-Jan-2022
    • (2022)Technology-enhanced support for children with Down SyndromeInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2021.10034031:COnline publication date: 1-Mar-2022
    • (2019)Assessing Animal Emotion and Behavior Using Mobile Sensors and Affective ComputingEmerging Trends and Applications in Cognitive Computing10.4018/978-1-5225-5793-7.ch003(49-77)Online publication date: 2019
    • (2018)Co-design process of a smart phone app to help people with down syndrome manage their nutritional habitsJournal of Usability Studies10.5555/3294038.329404113:2(73-93)Online publication date: 1-Feb-2018
    • (2018)Personalized machine learning for robot perception of affect and engagement in autism therapyScience Robotics10.1126/scirobotics.aao67603:19Online publication date: 20-Jun-2018
    • (2014)Automatic Behaviour Understanding in MedicineProceedings of the 2014 Workshop on Roadmapping the Future of Multimodal Interaction Research including Business Opportunities and Challenges10.1145/2666253.2666260(57-60)Online publication date: 16-Nov-2014
    • (2012)Personalized Model of an Interactive System for Improving the Pronunciation Skills in Autistic ChildrenInternational Journal of Information and Education Technology10.7763/IJIET.2012.V2.190(503-506)Online publication date: 2012
    • (2011)Understanding the computer skills of adult expert users with down syndromeThe proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility10.1145/2049536.2049548(51-58)Online publication date: 24-Oct-2011
    • (2011)Teaching intelligible speech to the autistic children by interactive computer gamesProceedings of the 2011 ACM Symposium on Applied Computing10.1145/1982185.1982450(1208-1209)Online publication date: 21-Mar-2011
    • (2011)Speech development of autistic children by interactive computer gamesInteractive Technology and Smart Education10.1108/174156511111894508:4(208-223)Online publication date: 22-Nov-2011

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